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Oyewola DO, Dada EG, Emebo O, Oluwagbemi OO. Using Deep 1D Convolutional Grated Recurrent Unit Neural Network to Optimize Quantum Molecular Properties and Predict Intramolecular Coupling Constants of Molecules of Potential Health Medications and Other Generic Molecules. Applied Sciences. 2022; 12(14):7228. https://doi.org/10.3390/app12147228

Oyewola, David Opeoluwa, Emmanuel Gbenga Dada, Onyeka Emebo, and Olugbenga Oluseun Oluwagbemi. 2022. "Using Deep 1D Convolutional Grated Recurrent Unit Neural Network to Optimize Quantum Molecular Properties and Predict Intramolecular Coupling Constants of Molecules of Potential Health Medications and Other Generic Molecules" Applied Sciences 12, no. 14: 7228. https://doi.org/10.3390/app12147228

Oyewola, D. O., Dada, E. G., Emebo, O., & Oluwagbemi, O. O. (2022). Using Deep 1D Convolutional Grated Recurrent Unit Neural Network to Optimize Quantum Molecular Properties and Predict Intramolecular Coupling Constants of Molecules of Potential Health Medications and Other Generic Molecules. Applied Sciences, 12(14), 7228. https://doi.org/10.3390/app12147228